Calculation method and device for contribution degree of training data set, equipment and storage medium

Abstract

The invention discloses a calculation method and device for a contribution degree of a training data set, equipment and a storage medium, and relates to the field of financial science and technology,and the method comprises the steps: obtaining each training data set of a training machine learning model; calculating a SHAP target value of a SHAP interpretation method of each feature in the training data set; and calculating the contribution degree of the training data set according to the SHAP target value of each feature in the training data set. According to the invention, the contributiondegree of each training data set is obtained through corresponding calculation of the SHAP target value of each feature in the training data set; the importance degree of each training data set in theprocess of training the machine learning model is evaluated through the contribution degree of each training data set, so that the training data set for training the machine learning model can be selected more accurately, and the data prediction accuracy of the machine learning model obtained by training is improved.

Description

technical field [0001] The present invention relates to the technical field of financial technology (Fintech) data processing, and in particular to a method, device, device and storage medium for calculating the contribution of a training data set. Background technique [0002] With the development of computer technology, more and more technologies are applied in the financial field. The traditional financial industry is gradually transforming into financial technology (Fintech), and data processing technology is no exception. However, due to the security and real-time requirements of the financial industry, It also places higher demands on technology. [0003] Data is very important for machine learning modeling. A piece of high-quality data can help improve the performance of machine learning models, thereby improving business benefits or reducing operating costs. In the process of large-scale practical deployment of machine learning, the value of data has become increasi...

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a method, device, device and storage medium for calculating the contribution of training data sets, aiming at solving the existing technical problem of how to calculate the contribution of each training data set

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